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Computational Modeling of Shallow Geothermal Systems

Series: Multiphysics Modeling Volume: 4
By: Rafid Al-Khoury(Author)
254 pages, illustrations
Publisher: CRC Press
Computational Modeling of Shallow Geothermal Systems
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  • Computational Modeling of Shallow Geothermal Systems ISBN: 9781138073425 Paperback Mar 2017 Not in stock: Usually dispatched within 1 week
  • Computational Modeling of Shallow Geothermal Systems ISBN: 9780415596275 Hardback Sep 2011 Not in stock: Usually dispatched within 1 week
Selected version: £77.99
About this book Contents Customer reviews Biography Related titles

About this book

Geothermal heat is a viable source of energy and its environmental impact in terms of CO2 emissions is significantly lower than conventional fossil fuels. Shallow geothermal systems are increasingly utilized for heating and cooling of buildings and greenhouses. However, their utilization is inconsistent with the enormous amount of energy available underneath the surface of the earth. Projects of this nature are not getting the public support they deserve because of the uncertainties associated with them, and this can primarily be attributed to the lack of appropriate computational tools necessary to carry out effective designs and analyses. For this energy field to have a better competitive position in the renewable energy market, it is vital that engineers acquire computational tools, which are accurate, versatile and efficient. Computational Modeling of Shallow Geothermal Systems aims at attaining such tools.

Computational Modeling of Shallow Geothermal Systems addresses computational modeling of shallow geothermal systems in considerable detail, and provides researchers and developers in computational mechanics, geosciences, geology and geothermal engineering with the means to develop computational tools capable of modeling the complicated nature of heat flow in shallow geothermal systems in rather straightforward methodologies. Coupled conduction-convection models for heat flow in borehole heat exchangers and the surrounding soil mass are formulated and solved using analytical, semi-analytical and numerical methods. Background theories, enhanced by numerical examples, necessary for formulating the models and conducting the solutions are thoroughly addressed.

Computational Modeling of Shallow Geothermal Systems emphasizes two main aspects: mathematical modeling and computational procedures. In geothermics, both aspects are considerably challenging because of the involved geometry and physical processes. However, they are highly stimulating and inspiring. A good combination of mathematical modeling and computational procedures can greatly reduce the computational efforts. Computational Modeling of Shallow Geothermal Systems thoroughly treats this issue and introduces step-by-step methodologies for developing innovative computational models, which are both rigorous and computationally efficient.



Part I Preliminaries

1 Introduction
1.1 Geothermal energy systems
1.2 Shallow geothermal system
1.3 Book theme and objective

2 Heat Transfer
2.1 Introduction
2.2 Heat transfer mechanisms
2.3 Thermal parameters

3 Heat Transfer in Porous Media
3.1 Introduction
3.2 Energy field equation: formal representation
3.3 Heat flow in a two-phase soil mass: engineering representation

4 Heat Transfer in Borehole Heat Exchangers
4.1 Introduction
4.2 Heat equation of a multiple component system
4.3 Heat equation of a borehole heat exchanger
4.4 Heat equations of some typical borehole heat exchangers

5 Thermal Resistance
5.1 Introduction
5.2 Fourier’s law vs. Ohm’s law
5.3 Series and parallel configurations
5.4 Thermal resistance of a borehole heat exchanger

Part II Analytical and semi-analytical modeling

6 Eigenfunction Expansions and Fourier transforms
6.1 Introduction
6.2 Initial and boundary value problems
6.3 Sturm-Liouville problem
6.4 Fourier series
6.5 Fourier integral
6.6 Fourier transform
6.7 Discrete Fourier transform
6.8 Fast Fourier transform
6.9 Numerical examples

7 Laplace Transforms
7.1 Introduction
7.2 Forward Laplace transform
7.3 Inverse Laplace transform
7.4 Numerical examples

8 Commonly used Analytical Models for Ground-Source Heat Pumps
8.1 Introduction
8.2 Modeling soil mass
8.3 Modeling borehole heat exchanger

9 Spectral Analysis of Shallow Geothermal Systems
9.1 Introduction
9.2 Modeling shallow geothermal system
9.3 Verification of the BHE model
9.4 Verification of the soil model
9.5 Computer implementation

10 Spectral Element Model for Borehole Heat Exchangers
10.1 Introduction
10.2 Spectral element formulation
10.3 Spectral element formulation for borehole heat exchangers
10.4 Element verification
10.5 Concluding remarks

Part III Numerical Modeling

11 Finite Element Methods of Conduction-Convection Problems
11.1 Introduction
11.2 Spatial discretization
11.3 Time discretization

12 Finite Element Modeling of Shallow Geothermal Systems
12.1 Introduction
12.2 Soil finite element
12.3 Borehole heat exchanger finite element
12.4 Numerical implementation
12.5 Verifications and numerical examples

Customer Reviews


Rafid Al-Khoury is a Senior researcher in computational mechanics in the Faculty of Civil Engineering and Geosciences at Delft University of Technology, The Netherlands. His main area of interest is in computational mechanics with emphasis on computational geoenvironment. In particular, he is a developer of analytical, semi-analytical and numerical models for wave propagation in layered systems, multiphase flow and heat and fluid flow in shallow geothermal systems. The main focus of his research work is the development of innovative models and efficient computational procedures capable of simulating physical processes occurring in complicated geometry using minimal computational efforts. Along this line, Dr. Al-Khoury has published several models for different fields of computational mechanics, including wave propagation, parameter identification, fracturing porous media, and geothermics.

Series: Multiphysics Modeling Volume: 4
By: Rafid Al-Khoury(Author)
254 pages, illustrations
Publisher: CRC Press
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